AutoProfile: Automated profiling in deep learning-based side-channel analysis.

Side-channel analysis (SCA) capitalizes on unintentionally leaked information to extract sensitive data from cryptographic systems. Over recent years, the side-channel community has exhibited a notable surge in interest towards deep learning (DL) techniques. However, the challenge of constructing appropriate networks has been highlighted.

Direct aesthetic restoration of black triangles in anterior teeth with a bio clear matrix: case series.

The black triangle, a V-shaped gap between anterior teeth, affects both dental aesthetics and self-esteem. It can negatively impact dental aesthetics and patients' selfesteem. This study presents a series of cases in which a novel Bioclear matrix system was used for the direct aesthetic restoration of black triangles in anterior teeth.

Concentration-dependent effects of boron fertilizer on growth, yield, and quality of buckwheat.

Introduction: Boron is an essential trace element for plant growth and development, playing a critical role in flowering, fruit setting, nutrient transport, and stress resistance in crops. Buckwheat is‌ an important coarse grain crop, ‌and‌ its yield and quality are easily affected by boron nutritional status.

Methods: In order to identify the optimal concentration of boron fertilizer to maximize growth and yield of buckwheat, pot experiments and field trials were carried out at different mass concentrations of boron fertilizer solution: 0, 12, 24, 48, and 72 mg/L.

Tectorigenin promotes skin flap survival by downregulating the TLR4-NF-κB signaling pathway.

Ethnopharmacological Relevance: Flap necrosis remains a major challenge in flap transplantation. Shegan, a traditional Chinese medicine, is known for its heat-clearing, detoxifying properties,blood-activating and removing blood stasis. Its principal bioactive compound, tectorigenin, has shown protective effects against skin damage, yet its influence on flap survival has not been fully elucidated.

ER‑α36 knockdown is associated with lysosomal dysfunction and proliferation inhibition in liver cancer cells.

Estrogen receptor (ER)‑α36 and autophagy have each independently been reported to promote the proliferation of liver cancer cells; however, the association between them has not been explored. Therefore, the present study aimed to investigate the role and the underlying mechanism of ER‑α36 in the regulation of autophagy in liver cancer cells. The proliferation of liver cancer cell variants was examined by colony formation assay.

Graph-based descriptors for condensed matter.

Computational scientists have long been developing a diverse portfolio of methodologies to characterize condensed matter systems. Most of the descriptors resulting from these efforts are ultimately based on the spatial configurations of particles, atoms, or molecules within these systems. Noteworthy examples include symmetry functions and the smooth overlap of atomic positions (SOAP) descriptors, which have significantly advanced the performance of predictive machine learning models for both condensed matter and small molecules.

Systematic pan-cancer analysis identified NCOA4 as an immunological and prognostic biomarker and validated in lung adenocarcinoma.

Background: Cancer immunotherapy has revolutionized treatment, yet predicting patient responses remains challenging. The potential of nuclear receptor coactivator 4 (NCOA4) as a biomarker has been identified in different types of cancer. However, its role as an immunological and prognostic factor across cancers, particularly lung adenocarcinoma (LUAD), still needs to be fully understood.

PD-1/PD-L1 inhibitors monotherapy vs. combination therapy in elderly advanced NSCLC: a real-world study and nomogram for survival prognosis.

Background: Immunotherapy with PD-1/PD-L1 inhibitors has transformed advanced non-small cell lung cancer (NSCLC) treatment, yet optimal strategies for elderly patients remain uncertain. Elderly patients (≥ 65 years) exhibit immune senescence (e.g.

Dopamine-modified hyaluronic acid hydrogel's role in spinal cord injury.

Spinal cord injury (SCI) is one of the most severe diseases in the world caused by violence or accidents, often leading to the loss of sensation, movement, and autonomic nervous function, resulting in a high rate of disability. Current clinical treatment strategies often fail to meet expectations. Here, we designed a dopamine (DP)-modified hyaluronic acid (HA) hydrogel combined with neurotrophic factors (NGF) to improve the adverse microenvironment after spinal cord injury (SCI) and promote axonal regeneration.

Engineered Plasmonic multi-hot spots on magnetic Nanospheres for quantitative detection of pesticide residues on food surfaces via SERS tagging analysis.

Pesticide application ensures the yield of crops and reduces the harm of pathogenic microorganisms to the human body. However, excessive use of pesticides leads to their residues on the surface of foods, thus posing a threat to human health and the ecological environment. Herein, Fe₃O₄@Au@1,4-BDT@Au nanoparticle, as a novel three-dimensional surface-enhanced Raman scattering (SERS) substrate, was constructed enabling the rapid and quantitative detection of pesticide residues of food surfaces combined with a portable Raman spectrometer, which integrates the advantages of multiple components, such as magnetic effect enrichment, Raman internal standard, and strong electromagnetic fields via coupling of gold nanoparticles.

Effects of online and offline social participation on depression among older adults living alone vs. not.

This study explored how online and offline social participation affects depression symptoms in older adults through social networks, basic psychological needs, and cognitive reactivity. Conducted as a cross-sectional survey among 700 urban and rural older adults in Ningde City, Fujian Province, data on social participation, social networks, psychological needs, cognitive reactivity, and depression symptoms were analyzed using partial least squares structural equation modeling and multi-group structural equation modeling. Results indicated that offline social participation directly reduced depression symptoms, whereas online participation did not.

Prognostic differences in patients with advanced solid tumors receiving immune checkpoint inhibitors: The role of immune-related adverse events.

This retrospective study examines the relationship between negative immune responses and the effectiveness of immune checkpoint inhibitors (ICIs) in the treatment of advanced solid tumors. A total of 59 patients with advanced solid tumors treated with ICIs between August 2020 and May 2022 were included. Based on the presence or absence of immune-related adverse events (irAEs), patients were categorized into 2 cohorts: irAE group (n = 46) and non-irAE group (n = 13).

Comparative efficacy and safety of anticoagulant therapies in coronary artery disease: a network meta-analysis of randomized controlled trials.

Background: The most efficacious anticoagulant intervention for people with coronary artery disease (CAD) is still not clearly defined, highlighting the need for a comprehensive assessment of the available alternatives. Previous studies have assessed individual treatments, but a lack of integrated comparisons limits clinical decision-making. This investigation seeks to check how safe and effective a range of anticoagulant therapies for individuals suffering from CAD are through a network meta-analysis.

Glutathione S-transferase Theta 2 causes drug resistance by inhibiting arsenic trioxide-induced ferroptosis in pancreatic ductal adenocarcinoma.

Chemotherapy remains the cornerstone for the treatment of pancreatic ductal adenocarcinoma (PDAC). However, their efficacy is often undermined by the emergence of drug resistance. Recent evidence has highlighted the critical role of ferroptosis inhibition in mediating this resistance.

PedSemiSeg: Pedagogy-inspired semi-supervised polyp segmentation.

Recent advancements in deep learning techniques have contributed to developing improved polyp segmentation methods, thereby aiding in the diagnosis of colorectal cancer and facilitating automated surgery like endoscopic submucosal dissection (ESD). However, the scarcity of well-annotated data poses challenges by increasing the annotation burden and diminishing the performance of fully-supervised learning approaches. Additionally, distribution shifts due to variations among patients and medical centers require the model to generalize well during testing.

Predictive modeling for early detection of refractory esophageal stricture following esophageal atresia surgery: insight from a machine learning study.

Background: Refractory esophageal stricture (RES) presents a challenging complication after esophageal atresia (EA) repair. Earlier identification of patients with RES could help clinical decision-making. However, there are currently limited articles to predict the occurrence of RES after EA repair.

PDZSeg: adapting the foundation model for dissection zone segmentation with visual prompts in robot-assisted endoscopic submucosal dissection.

Purpose: The intricate nature of endoscopic surgical environments poses significant challenges for the task of dissection zone segmentation. Specifically, the boundaries between different tissue types lack clarity, which can result in significant segmentation errors, as the models may misidentify or overlook object edges altogether. Thus, the goal of this work is to achieve the precise dissection zone suggestion under these challenges during endoscopic submucosal dissection (ESD) procedures and enhance the overall safety of ESD.

A reconfigurable arbitrary retarder array as complex structured matter.

Tuneable retarder arrays, such as spatially patterned liquid crystal devices, have given rise to impressive photonic functionality, fuelling diverse applications ranging from microscopy and holography to encryption and communications. Presently these solutions are limited by the controllable degrees of freedom of structured matter, hindering applications that demand photonic systems with high flexibility and reconfigurable topologies. Here we demonstrate a compound modulator that implements a synthetic tuneable arbitrary retarder array as virtual pixels derived by cascading low functionality tuneable devices, realising full dynamic control of its arbitrary elliptical axis geometry, retardance value, and induced phase.

[Delayed physical growth and related factors in pediatric patients with transfusion-dependent thalassemia].

To investigate the physical growth status of pediatric patients with transfusion-dependent thalassemia (TDT) and analyze the effects of treatment-related and socioeconomic factors on physical growth. Based on the specialized thalassemia database from gene therapy clinical research at the Institute of Hematology & Hospital of Blood Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, we collected data on height and weight development, family economic status, and medical records of 338 pediatric patients with TDT from October 2023 to May 2024. The length/height-for-age and body mass index (BMI) -for-age were classified based on the Growth Standard for Children under 7 Years of Age, Standard for Height Level Classification among Children and Adolescents Aged 7-18 Years, and Dietary Guidelines for Chinese Residents.

Stable Lithium Anodes Enabled by the Hardening and High Li Flux Interlayer.

The commercial use of lithium metal batteries is greatly limited by dendrite formation and slow Li transport at the anode-electrolyte interface. Herein, the constructed high-modulus polymer interlayer suppressed the Li dendrite formation, leading to dense deposition and enhanced Li transport. Meanwhile, this formed robust organic solid-electrolyte interphase inhibited the side reactions occurring at the anode-electrolyte interface while promoting a high Li flux.

Persistent homology for structural characterization in disordered systems.

We propose a unified framework based on persistent homology to characterize both local and global structures in disordered systems. It can simultaneously generate local and global descriptors using the same algorithm and data structure, and has been shown to be highly effective and interpretable in predicting particle rearrangements and classifying global phases. We also demonstrated that using a single variable enables a linear support vector machine to achieve nearly perfect three-phase classification.

Malignant hyperthermia: patient undergoing limb debridement surgery-a case report.

Background: Malignant hyperthermia is a rare but potentially fatal clinical emergency, primarily triggered by inhaled volatile anesthetics. It is associated with inherited autosomal-dominant skeletal muscle disorders and typically caused by mutations in muscle calcium channel genes. Owing to its rapid onset and severe complications, prompt diagnosis and intervention are crucial.

A Lithiophilic Artificial LiP Interphase with High Li-Ion Conductivity via Solid-State Friction for Lithium Metal Anodes.

Interfacial modification strategies for lithium metal anodes have emerged as a promising method to improve cycling stability, suppress lithium dendrite growth, and increase Coulombic efficiency. However, the reported chemical synthesis methods lead to side reactions and side products, which hinder their electrochemical performance. In this study, we propose a novel and facile red phosphorus-assisted solid-state friction method to in situ fabricate a uniform LiP interphase directly on the surface of lithium metal.